Particle-laden two-phase flows in viscous non-Newtonian fluids are ubiquitous in engineering applications, and their prediction requires accurate particle drag force models. In this work, we perform numerical simulations of the flow past a spherical...
Distributed-drive electric vehicles can coordinate active front steering (AFS) and direct yaw-moment control (DYC) to regulate lateral and yaw responses. This study develops a hierarchical AFS–DYC framework with a unified physical interface and...
Freight modal allocation requires balancing economic efficiency, operational performance, environmental impacts, reliability, and infrastructure capacity. This study develops an integrated ANN–CRITIC–SREM framework for evaluating alternat...
The air-cooling system for injection compressors in underground gas storage (UGS) facilities is critical to operational safety. Its control must balance outlet temperature safety with fan energy savings. However, traditional empirical methods struggl...
Porous asphalt mixtures (PAC) with high connectivity porosity can significantly reduce surface runoff and play a more critical role in sustainable paving. This study investigated the permeability performance of PAC-13 porous asphalt mixtures with thr...
Electrocardiogram (ECG) signals exhibit distribution shifts across recording devices, populations, sampling rates, and lead configurations, impairing generalization and long-term feature extraction. To address these issues, this paper proposes a mult...
Displacement is crucial in performance-based seismic design and assessment of civil constructions. A simple estimate of the peak displacement demand uses the inelastic displacement ratio. Importantly, relevant research is limited to uniaxial motion,...
Reliable prediction of concrete strength development is important for mixture design and performance assessment, yet conventional experimental–statistical approaches often describe strength at discrete curing ages or require separate calibratio...
In complex and confined industrial environments—such as aerospace component assembly and narrow cabin maintenance—robotic front-end visual perception systems frequently suffer from severe structural occlusions, localized target feature lo...
Large underground structures such as subway stations are critical components of urban lifeline systems, but their seismic deformation and damage mechanisms remain not fully understood. This paper investigates the seismic response and damage mechanism...
Uncertain masses, dimensions, and friction coefficients can cause a robot’s motion to differ from predictions based on nominal parameters. This study examines how these uncertainties affect joint trajectories and which parameters deserve closer...
Design-variable scaling is often treated as numerical preprocessing in simulation-driven optimization, although the coordinates supplied to the optimizer form part of the numerical interface to the computational model. This study quantifies the resul...
An explicit finite element study examined the sensitivity of a rotating aircraft-engine fan to blade material and drone impact velocity. A complete 20-blade rotor and a deformable, equivalent-material quadcopter were modelled in ANSYS/LS-DYNA. Ti-6Al...
Reducing Portland Cement (PC) consumption through Fly Ash (FA) and Blast Furnace Slag (BFS) can lower concrete’s environmental burden, but the coupled effects of these constituents make 28-day compressive strength difficult to estimate with con...
This paper presents PySkyLumos, an open-source Python framework for simulating skylight polarization measurements and metadata. It implements the Rayleigh, Berry, and Pan models, covering single scattering, the splitting of the neutral points caused...
For assembly deviation analysis of thin-walled parts, single surrogate models are suitable for cases with simple assembly processes and few design variables. For complex parts with high flexibility, nonlinear behavior, and variable spring-back effect...
Uncertainty quantification (UQ) is essential for reliable predictions in artificial neural networks when latent sources of randomness produce non-Gaussian outputs for a given deterministic input. We propose UQ-ANN, a data-driven framework composed of...
Ramp metering regulates the rate at which vehicles enter a freeway and can reduce congestion when several entrance ramps compete for limited mainline capacity. Coordinating multiple ramps requires a traffic model that captures how present metering de...
Selecting sustainable investment projects is a complex decision-making problem because economic, environmental, and social criteria must be considered simultaneously under uncertainty. This study develops a two-stage multi-criteria decision-making (M...
Predicting fluid flow through rough fractures is critical for subsurface engineering, yet conventional models relying on equivalent hydraulic aperture often fail to capture the complex effects of aperture heterogeneity and spatial correlation. This s...
Conventional self-piercing riveting is primarily limited to lap joints, which can increase structural mass and restrict geometric flexibility. This study investigates tubular self-piercing riveting (T-SPR) as a method for producing butt joints betwee...
Despite recent advances, achieving higher quality factors while maintaining smaller mode volumes remains a major challenge in current cavity designs. Since strong spatial confinement with minimal electromagnetic leakage depends on a precisely optimiz...
This paper is a fundamental study that theoretically estimates the acoustic properties of a simplified structural model of a sound-absorbing foam material, which is porous. This study adopts a simplified foam-structure model consisting of continuous...
Adhesively bonded joints are widely used in engineering structures due to their high strength-to-weight ratio and improved stress transfer. However, stress concentrations near the overlap edges limit their performance. Dual-adhesive joints (DAJs) com...
This paper proposes a non-traditional inerter-based dynamic vibration absorber with negative stiffness (NSIDVA). Its optimal design is determined based on two widely used calibration strategies: the extended fixed-points technique and the stability m...
Random row splits can overstate industrial soft-sensor performance when an operating regime is absent from training. We propose a quasi-Monte Carlo worst-regime monitored stochastic configuration network (QMC-WRM-SCN), which maps a deterministic Sobo...
Modelling and simulation play fundamental roles in helping us to understand complex systems, predicting their behaviour and supporting engineering design and decision-making [...]
Lower-limb exoskeletons are potential rehabilitation aids for regaining motor function after neurological and musculoskeletal disorders. However, most present controllers provide fixed or weakly adaptive help. They cannot ensure mandated tracking per...
Underground hydrogen storage in porous formations requires numerical models able to represent multiphase flow, gas dissolution, diffusion, capillary effects, and gas mixture behaviour under conditions that may involve temperature changes, salinity an...
This study develops an interpretable machine learning framework for predicting the 28-day compressive strength of recycled aggregate concrete containing supplementary cementitious materials and validates it experimentally using metakaolin and spent f...
High-strength steel wires in bridge stay cables are susceptible to chloride attack and wet–dry cycling during long term service. Furthermore, the resulting spatially non-uniform evolution of corrosion morphology can lead to the degradation of t...
To enable effective regulation of the contact pattern location on tooth flanks and eliminate edge contact in cylindrical helical gear pairs, a novel asymmetric modification method that simultaneously addresses both the tooth profile and the tooth lea...
Wheel-region flow has a substantial influence on the aerodynamic drag of passenger cars; however, wheel-specific aerodynamic responses under varying inflow speeds, crosswind, and steady-state platooning conditions have not yet been sufficiently chara...
The deployment of multiple Autonomous Underwater Vehicles (AUVs) for large-scale oceanic search and mapping missions is frequently constrained by inefficient task assignment and strict collision avoidance protocols. Traditional deconfliction methods...
Accumulation of carbon deposits on coke-oven walls is an inherent challenge. The air injection technique for removing them is becoming widely adopted in coke-oven operations. A physical model that simulates the turbulent reacting flow of this carbon-...
This paper develops a three-dimensional refined finite-element model for the typical concrete lining of the Dianzhong Water Diversion Project tunnel, investigates the temperature and stress fields of the lining, and systematically analyzes the influe...
Hydrostatic rotary tables are widely used in the machine tool industry for high-precision machining applications. The standard design approach relies on two-dimensional (2D) Reynolds finite element models that treat the bearing gap as a rigid, unifor...
Inland navigation is crucial for agricultural transport in the Brazilian Amazon; however, computational fluid dynamics (CFD) methodologies are needed to evaluate the effects of seasonal water-depth changes on regional vessel performance. This paper p...
Kinematic modelling is essential for evaluating hybrid manipulators that require both stiffness and spatial adaptability. This paper proposes a modular 3-UPU (universal joint–prismatic joint–universal joint) hybrid serial–parallel m...
Efficient and safe path planning is the core prerequisite for realizing the autonomous crushing operation of the hydraulic crushing robotic arm in the mine chute. Foundational sampling-based algorithms, specifically standard RRT* and Informed RRT*, h...
Background: To elucidate the hydraulic response, progressive deformation, and wetting-induced swelling effects of high-fill expansive soil slopes throughout the rainfall–cessation process. Methods: A high-fill expansive soil slope in Jianshui,...
This paper investigates prescribed-performance containment control of nonlinear multi-agent systems with multiple leaders under a fixed directed graph. To reconcile follower-specific physical containment envelopes, multi-leader targets determined by...
This study addresses the challenges of slow attenuation and significant hazards associated with explosive shock waves confined within conventional underground tunnel walls. A novel serrated passive shock-attenuating tunnel design is proposed, grounde...
Many scientific and engineering domains, including machine learning, software engineering, operations research, and logistics optimization, are characterized by a fragmented landscape of problem variants, methodological approaches, and application-sp...
Accurate and computationally efficient numerical modelling of shallow-water flows is essential for flood prediction and hydrodynamic risk assessment. This study develops an implicit finite-difference scheme for the numerical solution of the two-dimen...
This paper presents an analytical—mechanistic model for determining local friction and normal force components acting on the rake and flank surfaces during oblique cutting. The proposed formulation integrates the tool geometry by considering bo...
The end-winding insulation structure of stator windings in pumped-storage generator units is complex, with pronounced electric field concentration under out-of-phase conditions, making them critical concerns in insulation design and condition-based m...
Installed-capacity shares are widely used to describe power-sector transition, but per-kWh life cycle assessment (LCA) depends on delivered generation. This study develops and tests a static, annual-average generation-weighted structural diagnostic f...
Water-decking can buffer and redistribute borehole loading, but the coupled effects of axial charge segmentation, radial decoupling, and peripheral-hole spacing across scales remain insufficiently quantified. A cross-scale three-dimensional multi-mat...
Valve-controlled hydraulic servo systems have been broadly utilized in applications requiring fast response and high power, where input constraints represent one of the major limitations on control performance. To tackle this problem, this study prop...
